Any-stepsize Gradient Descent for Separable Data under Fenchel-Young Losses

Han Bao, Shinsaku Sakaue, Yuki Takezawa

The gradient descent (GD) has been one of the most common optimizer in machine learning. In particular, the loss landscape of a neural network is typically sharpened during the ini…